{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "ce6b3b99",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import math\n",
    "from scipy.stats import skew\n",
    "from matplotlib.lines import Line2D"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "10149f5f",
   "metadata": {},
   "outputs": [],
   "source": [
    "#SEDIEMNT DEPOSIT\n",
    "\n",
    "obs_5 = [220.72, 1945.98, 3531.18, np.nan, np.nan, np.nan]  # SSL Tarebla Observed\n",
    "obs_50 = [960.17, 2508.52, 4213.00, np.nan, np.nan, np.nan]\n",
    "obs_95 = [1650.49, 3181.61, 5001.12, np.nan, np.nan, np.nan]\n",
    "\n",
    "#rusle_5 = [np.nan, 1925.95, 3929.32, np.nan, np.nan,np.nan]  # SSL RUSLE Model over completet basin\n",
    "#rusle_50 = [np.nan, 2794.75, 4750.4, np.nan, np.nan, np.nan]  \n",
    "#rusle_95 = [np.nan, 3560.68, 5557.38, np.nan, np.nan, np.nan]  \n",
    "rusle_5 = [np.nan, 1918.1, 3734.8, np.nan, np.nan,np.nan]  # SSL RUSLE Model over completet basin\n",
    "rusle_50 = [np.nan, 2705.23, 4479.86, np.nan, np.nan, np.nan]  \n",
    "rusle_95 = [np.nan, 3400.2, 5211.72, np.nan, np.nan, np.nan]  \n",
    "\n",
    "bish_5 = [239.31, 1710.23, 3449.48, np.nan, np.nan, np.nan]  # SSL Bisham station\n",
    "bish_50 = [898.85, 2321.28, 4087.52, np.nan, np.nan, np.nan]\n",
    "bish_95 = [1502.13, 3063.57, 4729.08, np.nan, np.nan, np.nan]\n",
    "\n",
    "rf45_5 = [132.03, 1519.73, 2885.04, 4270.52, 5658.23, 7027.45]\n",
    "rf45_50 = [891.33, 2531.89, 4307.46, 6158.45, 8017.61, 9922.38]\n",
    "rf45_95 = [1984.48, 4222.42, 6908.29, 9517.78, 12122.72, 15015.68]\n",
    "\n",
    "rf85_5 = [np.nan, 1860.22, 3525.47, 5078.93, 6933.51, 8671.81 ]\n",
    "rf85_50 = [np.nan, 2984.91, 4992.50, 7093.40, 9328.93, 11615.58 ]\n",
    "rf85_95 = [np.nan, 4448.25, 7113.49, 10079.61, 13170.45,16298.36 ]\n",
    "\n",
    "\n",
    "# Error bar calculations\n",
    "def calculate_error_bars(mean, min_vals, max_vals):\n",
    "    lower_error = np.nan_to_num(np.array(mean) - np.array(min_vals))\n",
    "    upper_error = np.nan_to_num(np.array(max_vals) - np.array(mean))\n",
    "    return lower_error, upper_error\n",
    "\n",
    "# Updated error bar data\n",
    "obs_error = calculate_error_bars(obs_50, obs_5, obs_95)\n",
    "rusle_error = calculate_error_bars(rusle_50, rusle_5, rusle_95)\n",
    "bish_error = calculate_error_bars(bish_50, bish_5, bish_95)\n",
    "\n",
    "rf45_error = calculate_error_bars(rf45_50, rf45_5, rf45_95)\n",
    "rf85_error = calculate_error_bars(rf85_50, rf85_5, rf85_95)\n",
    "\n",
    "years = [1990,  2000, 2010, 2020, 2030, 2040]\n",
    "# Adjusted positions for error bars\n",
    "x_obs = [year + 1.5 for year in years]\n",
    "\n",
    "x_bish = [year + 3.3 for year in years]  \n",
    "x_rusle = [year + 5 for year in years] \n",
    "x_rf45 = [year + 6.6 for year in years] \n",
    "x_rf85 = [year + 8.5 for year in years] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "31bd81cb",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 2000x1100 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Define figure size\n",
    "plt.figure(figsize=(20, 11))\n",
    "\n",
    "# Plot SSL Observed data (Tarbela) with error bars\n",
    "plt.errorbar(x_obs, obs_50, yerr=obs_error, fmt='o', color='black', label='Obs Tarbela', markersize=20, \n",
    "             capsize=10, capthick=4, linewidth=4)\n",
    "\n",
    "# Plot SSL Bisham station data with error bars\n",
    "plt.errorbar(x_bish, bish_50, yerr=bish_error, fmt='d', color='blue', label='RF Bisham', markersize=18,\n",
    "             capsize=10, capthick=4, linewidth=4)\n",
    "\n",
    "# Plot SSL RUSLE data with error bars\n",
    "plt.errorbar(x_rusle, rusle_50, yerr=rusle_error, fmt='s', color='green', label='RUSLE UIB', markersize=14,\n",
    "             capsize=10, capthick=4, linewidth=4)\n",
    "\n",
    "# Plot RF RCP 4.5 with error bars\n",
    "plt.errorbar(x_rf45, rf45_50, yerr=rf45_error, fmt='^', color='teal', label='RF RCP-4.5', markersize=22,\n",
    "             capsize=12, capthick=5, linewidth=5)\n",
    "\n",
    "# Plot RF RCP 8.5 with error bars\n",
    "plt.errorbar(x_rf85, rf85_50, yerr=rf85_error, fmt='v', color='red', label='RF RCP-8.5', markersize=22,\n",
    "             capsize=12, capthick=5, linewidth=5)\n",
    "\n",
    "# Add labels and title\n",
    "#plt.xlabel('Year', fontsize=30)\n",
    "plt.ylabel('Cumulative SSL [$10^3$xMt]', fontsize=36)\n",
    "\n",
    "plt.xticks(fontsize=1)  # Increase x ticks size\n",
    "plt.yticks(fontsize=36)  # Increase y ticks size\n",
    "plt.ticklabel_format(axis='y', style='sci', scilimits=(3, 3))  # Format y-axis ticks\n",
    "\n",
    "# Increase the size of tick lines\n",
    "plt.gca().tick_params(axis='x', which='major', length=18, width=4)\n",
    "plt.gca().tick_params(axis='y', which='major', length=18, width=4)\n",
    "\n",
    "# Add legend\n",
    "legend = plt.legend(loc='upper left', prop={'size': 30}, bbox_to_anchor=(0.02, 0.97), borderaxespad=0., ncol=2)\n",
    "legend.get_frame().set_linewidth(4)\n",
    "legend.get_frame().set_edgecolor('black')\n",
    "\n",
    "# Increase the thickness of the outer boundary\n",
    "ax = plt.gca()\n",
    "for spine in ax.spines.values():\n",
    "    spine.set_linewidth(4)\n",
    "\n",
    "# Set x-axis limits\n",
    "plt.xlim(1990, 2050)\n",
    "\n",
    "# Show grid\n",
    "plt.grid(True, linestyle='--', color='grey', linewidth=1)\n",
    "\n",
    "# Define manually placed x-axis labels\n",
    "years1 = [1995, 2005, 2015, 2025, 2035, 2045]\n",
    "labels = ['1990s', '2000s', '2010s', '2020s', '2030s', '2040s']\n",
    "\n",
    "# Add text labels below the x-axis\n",
    "for i, year in enumerate(years1):\n",
    "    plt.text(year, plt.ylim()[0] - 0.03 * (plt.ylim()[1] - plt.ylim()[0]), labels[i],  \n",
    "             fontsize=40, color='black', ha='center', va='top')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ea6a2832",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "cc49bb55",
   "metadata": {},
   "outputs": [],
   "source": [
    "mass_retained = [\n",
    "    135.825, 148.06, 100.92, 171.71, 124.22, 217.38, 164.77, 124.127, 101.27, 330.125, \n",
    "    154.65, 169.83, 162.32, 140.23, 232.571,127.50, 165.69, 159.66, 125.81, 114.77, \n",
    "    114.77, 241.01, 204.121, 104.06, 63.07,327.63, 157.67, 103.42, 202.55, 79.20, \n",
    "    184.93, 314.478, 284.20, 73.66, 154.56, 216.14]\n",
    "\n",
    "storage_loss = [\n",
    "    0.079, 0.089, 0.061, 0.108, 0.077, 0.132, 0.109, 0.079, 0.065, 0.2, \n",
    "    0.094, 0.104, 0.104, 0.087, 0.141, 0.089, 0.1, 0.096, 0.09, 0.081, \n",
    "    0.075, 0.148, 0.125, 0.077, 0.044, 0.214, 0.097, 0.067, 0.127, 0.053, \n",
    "    0.117, 0.187, 0.18, 0.048, 0.1, 0.135]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7e4f2a02",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "fbd6d8eb",
   "metadata": {},
   "source": [
    "# Gross storage loss"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4845ee46",
   "metadata": {},
   "source": [
    "# Gross Storage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "87a8d37e",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Gross stoarge in start of 1991 is 9.854\n",
    "\n",
    "obs_gst5 = [8.934, 7.6586, 6.801, np.nan, np.nan, np.nan]  # SSL Tarebla Observed\n",
    "obs_gst50 = [9.354, 8.3775, 7.3295, np.nan, np.nan, np.nan]  \n",
    "obs_gst95 = [9.805, 8.737, 7.688, np.nan, np.nan, np.nan]  \n",
    "\n",
    "\n",
    "rf45_gst5 = [9.77, 8.94, 8.12, 7.29, 6.45, 5.63]\n",
    "rf45_gst50 = [9.31, 8.33, 7.26, 6.15, 5.04, 3.90]\n",
    "rf45_gst95 = [8.66, 7.32, 5.70, 4.14, 2.57, 0.84]\n",
    "\n",
    "rf85_gst5 = [np.nan, 8.7325,7.7333,6.8012,5.6885,4.6455]\n",
    "rf85_gst50 = [np.nan,8.0576,6.8531, 5.5926,4.2512,2.8792]\n",
    "rf85_gst95 = [np.nan,7.1796,5.5805,3.8008, 1.9463,0.0696]\n",
    "\n",
    "\n",
    "# Updated error bar data\n",
    "obs_gst_error = calculate_error_bars(obs_gst50, obs_gst5, obs_gst95)\n",
    "\n",
    "rf45_gst_error = calculate_error_bars(rf45_gst50, rf45_gst95, rf45_gst5)\n",
    "rf85_gst_error = calculate_error_bars(rf85_gst50, rf85_gst95, rf85_gst5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6bf77faa",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "a40a9b0a",
   "metadata": {},
   "outputs": [
    {
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",
      "text/plain": [
       "<Figure size 2000x1100 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#x-position\n",
    "x_obs_gst = [year + 2 for year in years]\n",
    "x_rf45_gst = [year + 5 for year in years] \n",
    "x_rf85_gst = [year + 8 for year in years] \n",
    "\n",
    "# Define figure size\n",
    "plt.figure(figsize=(20, 11))\n",
    "\n",
    "# Plot SSL Observed data (Tarbela) with error bars\n",
    "plt.errorbar(x_obs_gst, obs_gst50, yerr=obs_gst_error, fmt='o', color='black', label='Obs Tarbela', markersize=20,\n",
    "             capsize=10, capthick=4, linewidth=4)\n",
    "\n",
    "# Plot RF RCP 4.5 with error bars\n",
    "plt.errorbar(x_rf45_gst, rf45_gst50, yerr=rf45_gst_error, fmt='^', color='teal', label='RF RCP-4.5', markersize=22, \n",
    "             capsize=12, capthick=5, linewidth=5)\n",
    "\n",
    "# Plot RF RCP 8.5 with error bars\n",
    "plt.errorbar(x_rf85_gst, rf85_gst50, yerr=rf85_gst_error, fmt='v', color='red', label='RF RCP-8.5', markersize=22, \n",
    "             capsize=12, capthick=5, linewidth=5)\n",
    "\n",
    "# Add labels and title\n",
    "#plt.xlabel('Year', fontsize=30)\n",
    "plt.ylabel('Gross Storage [MAF]', fontsize=36)\n",
    "\n",
    "plt.xticks(fontsize=1)  # Increase x ticks size\n",
    "plt.yticks(fontsize=36)  # Increase y ticks size\n",
    "\n",
    "# Increase the size of tick lines\n",
    "plt.gca().tick_params(axis='x', which='major', length=18, width=4)\n",
    "plt.gca().tick_params(axis='y', which='major', length=18, width=4)\n",
    "\n",
    "# Add legend\n",
    "legend = plt.legend(loc='lower left', prop={'size': 36}, bbox_to_anchor=(0.02, 0.03), borderaxespad=0., ncol=1)\n",
    "legend.get_frame().set_linewidth(4)\n",
    "legend.get_frame().set_edgecolor('black')\n",
    "\n",
    "# Increase the thickness of the outer boundary\n",
    "ax = plt.gca()\n",
    "for spine in ax.spines.values():\n",
    "    spine.set_linewidth(4)\n",
    "\n",
    "# Set x-axis limits\n",
    "plt.xlim(1990, 2050)\n",
    "plt.ylim(0, 10.5) \n",
    "plt.yticks(np.arange(0, 11, 2))\n",
    "# Show grid\n",
    "plt.grid(True, linestyle='--', color='grey', linewidth=1)\n",
    "plt.axhline(1.16, color='darkorange', linestyle='--', linewidth=3)  # VIP threshold line\n",
    "# Define manually placed x-axis labels\n",
    "\n",
    "# Add text labels below the x-axis\n",
    "for i, year in enumerate(years1):\n",
    "    plt.text(year, plt.ylim()[0] - 0.03 * (plt.ylim()[1] - plt.ylim()[0]), labels[i],  \n",
    "             fontsize=40, color='black', ha='center', va='top')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "15186c9d",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7089fa29",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "48860756",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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